• DocumentCode
    484657
  • Title

    Integrated Retrieval of Surface and Atmospheric Parameters over the Arctic from AMSR-E Satellite Microwave Radiometer Data using Inverse Methods

  • Author

    Melsheimer, C. ; Heygster, G. ; Pedersen, L. Toudal

  • Author_Institution
    Inst. of Environ. Phys., Univ. of Bremen, Bremen
  • Volume
    4
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    We present a method for the retrieval of atmospheric and surface parameters (namely, surface wind speed, total water vapor, cloud liquid water, surface temperature, ice concentration, multiyear ice fraction) over the Arctic Ocean from brightness temperature measurements by the spaceborne microwave radiometer AMSR-E (Advanced Microwave Scanning Radiometer for EOS) on the satellite Aqua. We use an inverse method, with a forward model based on a fast radiative transfer for AMSR-E over open ocean which we have extended by including the possibility of ice-covered or partly ice-covered sea, using new data on sea ice emissivity at AMSR-E frequencies. The method performs reasonably well and can even retrieve cloud liquid water over ice, and ice concentration in the marginal ice zone in cloudy and humid conditions.
  • Keywords
    atmospheric humidity; atmospheric measuring apparatus; clouds; oceanographic regions; radiometry; remote sensing by radar; sea ice; wind; AMSR-E satellite microwave radiometer; Advanced Microwave Scanning Radiometer for EOS; Aqua satellite; Arctic Ocean; atmospheric parameters; brightness temperature; cloud liquid water; ice concentration; integrated retrieval; inverse method; multiyear ice fraction; surface parameters; surface temperature; surface wind speed; total water vapor; Arctic; Clouds; Ice surface; Information retrieval; Inverse problems; Microwave radiometry; Microwave theory and techniques; Ocean temperature; Satellite broadcasting; Sea surface; Microwave radiometry; cloud liquid water; polar regions; sea ice;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779890
  • Filename
    4779890